Bayes-xG: player and position correction on expected goals (xG) using Bayesian hierarchical approach

Bayes-xG: player and position correction on expected goals (xG) using Bayesian hierarchical approach

This study employs Bayesian methodologies to explore the influence of player or positional factors in predicting the probability of a shot resulting in a goal, measured by the expected goals (xG) metric. Utilising publicly available data from StatsBomb, Bayesian hierarchical logistic regressions are...

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Bibliographic Details
Main Authors: Alexander Scholtes, Oktay Karakuş
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-06-01
Series:Frontiers in Sports and Active Living
Subjects:
expected goals
football
Bayesian hierarchical models
player adjustment
position adjustment
prior effects
Online Access:https://www.frontiersin.org/articles/10.3389/fspor.2024.1348983/full

Internet

https://www.frontiersin.org/articles/10.3389/fspor.2024.1348983/full

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